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answer

Respond to any natural-language question about your documents by retrieving relevant context from granted files and generating a concise reply with your local model.

Instructions

USE THIS to answer any natural-language question about the documents (e.g. 'how long are backups kept?'). It retrieves the relevant lines across the granted files and has the host's LLM answer from them in one step. Prefer this over 'search' for questions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathNoOptional single file to ground the answer in; if omitted, the documents are searched for relevant context.
questionYesThe question to answer using the contents of the granted documents.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries full burden. It discloses the one-step retrieval and answer process and hints at read-only behavior, but lacks details on side effects, permissions, or rate limits.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very concise—two sentences with no redundancy. The front-loaded 'USE THIS' is direct, though slightly informal.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given an output schema exists, return values are covered. Sibling tools are listed and comparison made. Parameters are well-documented. Minor missing context about 'granted files' but overall sufficient.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema covers both parameters with descriptions, achieving 100% coverage. The description adds 'ground the answer in' for path, but not much extra beyond schema, so baseline score of 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it answers natural-language questions about documents, provides an example, and distinguishes from sibling tool 'search', making its purpose unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explicitly instructs to use it for questions and recommends it over 'search'. However, it does not explicitly state when not to use it (e.g., for keyword matching), but the context is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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